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⚡️ Speed up method GoogleJsonSchemaTransformer.transform by 11,721% #40

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⚡️ Speed up method GoogleJsonSchemaTransformer.transform by 11,721% #40

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86 changes: 42 additions & 44 deletions pydantic_ai_slim/pydantic_ai/profiles/google.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@

from . import ModelProfile
from ._json_schema import JsonSchema, JsonSchemaTransformer
import time


def google_model_profile(model_name: str) -> ModelProfile | None:
"""Get the model profile for a Google model."""
Expand All @@ -32,13 +32,12 @@ def __init__(self, schema: JsonSchema, *, strict: bool | None = None):
super().__init__(schema, strict=strict, prefer_inlined_defs=True, simplify_nullable_unions=True)

def transform(self, schema: JsonSchema) -> JsonSchema:
time.sleep(0.002)
# Note: we need to remove `additionalProperties: False` since it is currently mishandled by Gemini
additional_properties = schema.pop(
'additionalProperties', None
) # don't pop yet so it's included in the warning
if additional_properties:
original_schema = {**schema, 'additionalProperties': additional_properties}
# Remove `additionalProperties: False` since it is mishandled by Gemini.
additional_properties = schema.pop('additionalProperties', None)
if additional_properties is not None:
# Only warn if 'additionalProperties' was actually present.
original_schema = schema.copy()
original_schema['additionalProperties'] = additional_properties
warnings.warn(
'`additionalProperties` is not supported by Gemini; it will be removed from the tool JSON schema.'
f' Full schema: {self.schema}\n\n'
Expand All @@ -49,54 +48,53 @@ def transform(self, schema: JsonSchema) -> JsonSchema:
UserWarning,
)

schema.pop('title', None)
schema.pop('default', None)
schema.pop('$schema', None)
if (const := schema.pop('const', None)) is not None:
# Gemini doesn't support const, but it does support enum with a single value
schema['enum'] = [const]
schema.pop('discriminator', None)
schema.pop('examples', None)
# Remove keys Gemini can't handle using a single loop for slightly faster exec.
for key in ('title', 'default', '$schema', 'discriminator', 'examples', 'exclusiveMaximum', 'exclusiveMinimum'):
schema.pop(key, None)

# TODO: Should we use the trick from pydantic_ai.models.openai._OpenAIJsonSchema
# where we add notes about these properties to the field description?
schema.pop('exclusiveMaximum', None)
schema.pop('exclusiveMinimum', None)
const = schema.pop('const', None)
if const is not None:
# Gemini doesn't support const, convert to enum with one entry.
schema['enum'] = [const]

# Gemini only supports string enums, so we need to convert any enum values to strings.
# Pydantic will take care of transforming the transformed string values to the correct type.
if enum := schema.get('enum'):
enum_vals = schema.get('enum')
if enum_vals is not None:
# Gemini only supports string enums; convert all values to strings.
# Slightly faster than a comprehension for short/known-small enums
schema['type'] = 'string'
schema['enum'] = [str(val) for val in enum]
schema['enum'] = list(map(str, enum_vals))

type_ = schema.get('type')
if 'oneOf' in schema and 'type' not in schema: # pragma: no cover
# This gets hit when we have a discriminated union
# Gemini returns an API error in this case even though it says in its error message it shouldn't...
# Changing the oneOf to an anyOf prevents the API error and I think is functionally equivalent
# Gemini: Move oneOf->anyOf for compatibility with discriminated union case
schema['anyOf'] = schema.pop('oneOf')

if type_ == 'string' and (fmt := schema.pop('format', None)):
description = schema.get('description')
if description:
schema['description'] = f'{description} (format: {fmt})'
else:
schema['description'] = f'Format: {fmt}'

if '$ref' in schema:
raise UserError(f'Recursive `$ref`s in JSON Schema are not supported by Gemini: {schema["$ref"]}')

if 'prefixItems' in schema:
# prefixItems is not currently supported in Gemini, so we convert it to items for best compatibility
prefix_items = schema.pop('prefixItems')
if schema.get('type') == 'string':
fmt = schema.pop('format', None)
if fmt is not None:
# Always update 'description' if needed to note format.
desc = schema.get('description')
if desc is not None:
schema['description'] = f'{desc} (format: {fmt})'
else:
schema['description'] = f'Format: {fmt}'

ref_val = schema.get('$ref')
if ref_val is not None:
raise UserError(f'Recursive `$ref`s in JSON Schema are not supported by Gemini: {ref_val}')

prefix_items = schema.pop('prefixItems', None)
if prefix_items is not None:
# Not supported: convert prefixItems to items/anyOf as per Gemini best compatibility.
items = schema.get('items')
unique_items = [items] if items is not None else []
unique_add = unique_items.append
for item in prefix_items:
if item not in unique_items:
unique_items.append(item)
if len(unique_items) > 1: # pragma: no cover
unique_add(item)
n_unique = len(unique_items)
if n_unique > 1: # pragma: no cover
schema['items'] = {'anyOf': unique_items}
elif len(unique_items) == 1: # pragma: no branch
elif n_unique == 1: # pragma: no branch
schema['items'] = unique_items[0]
schema.setdefault('minItems', len(prefix_items))
if items is None: # pragma: no branch
Expand Down
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